code: def testTwoClassLogLikelihood(self):
      predictions = np.array([0.0, 0.2, 0.4, 0.6, 0.8, 1.0])
      targets = np.array([0, 0, 1, 0, 1, 1])
      expected = (2.0 * np.log(0.8) + 2.0 * np.log(0.4)) / 6.0
      with self.test_session() as session:
          avg_log_likelihood, _ = metrics.two_class_log_likelihood(
              predictions, targets
          )
          actual = session.run(avg_log_likelihood)
      self.assertAlmostEqual(actual, expected)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  from tensor2tensor.utils import metrics
  import tensorflow.compat.v1
label_desc: Use image node_id 6 for calling the MetricsTest obj's underlying member method code with example usage: obj.testTwoClassLogLikelihood() without return types